mob_control

numeric significance level. A node is splitted when
    the (possibly Bonferroni-corrected) $p$ value for any parameter
    stability test in that node falls below <code>alpha</code>.

alpha

logical. Should $p$ values be Bonferroni corrected?

bonferroni

integer. The minimum number of observations (sum of the
    weights) in a node.

minsplit

function. A function for extracting the minimized value of
    the ojbective function from a fitted model in a node.

objfun

logical. Should ties in numeric variables be broken
    randomly for computing the associated parameter instability test?

breakties

logical. Should information about the fitting process
    of <code><a href="/link/mob?package=party&version=0.9-1" rd-options="" data-mini-rdoc="party::mob">mob</a></code> (such as test statistics, $p$ values, selected
    splitting variables and split points) be printed to the screen?

verbose

Various parameters that control aspects the fitting algorithm
  for recursively partitioned <code><a href="/link/mob?package=party&version=0.9-1" rd-options="" data-mini-rdoc="party::mob">mob</a></code> models.

misc

A computational toolbox for recursive partitioning.
  The core of the package is ctree(), an implementation of
  conditional inference trees which embed tree-structured 
  regression models into a well defined theory of conditional
  inference procedures. This non-parametric class of regression
  trees is applicable to all kinds of regression problems, including
  nominal, ordinal, numeric, censored as well as multivariate response
  variables and arbitrary measurement scales of the covariates. Similar
  in spirit, the function mob() implements an algorithm for recursive
  partitioning based on parametric models (e.g. linear models, GLMs or
  survival regression) based on parameter instability tests. Furthermore,
  cforest() provides an implementation of Breiman's random forests
  based on conditional inference trees. Extensible functionality for
  visualizing tree-structured regression models is available.

mob_control: Control Parameters for Model-based Partitioning

Description

Usage

Arguments

Value

Details

See Also